Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2000-07-28 10:44:23	ga_ls7e_ard_3-0-0_106069_2000-07-28_final
2001-01-20 10:43:42	ga_ls7e_ard_3-0-0_106069_2001-01-20_final
2001-07-15 10:42:32	ga_ls7e_ard_3-0-0_106069_2001-07-15_final
2001-11-20 10:41:43	ga_ls7e_ard_3-0-0_106069_2001-11-20_final
2001-12-22 10:41:52	ga_ls7e_ard_3-0-0_106069_2001-12-22_final
2002-04-13 10:42:00	ga_ls7e_ard_3-0-0_106069_2002-04-13_final
2002-05-15 10:41:54	ga_ls7e_ard_3-1-0_106069_2002-05-15_final
2002-09-20 10:40:58	ga_ls7e_ard_3-0-0_106069_2002-09-20_final
2002-10-22 10:40:59	ga_ls7e_ard_3-0-0_106069_2002-10-22_final
2003-01-10 10:41:32	ga_ls7e_ard_3-0-0_106069_2003-01-10_final
2003-04-16 10:41:56	ga_ls7e_ard_3-0-0_106069_2003-04-16_final
2003-08-06 10:41:34	ga_ls7e_ard_3-0-0_106069_2003-08-06_final
2003-10-25 10:41:33	ga_ls7e_ard_3-0-0_106069_2003-10-25_final
2005-03-20 10:42:53	ga_ls7e_ard_3-0-0_106069_2005-03-20_final
2005-07-10 10:42:37	ga_ls7e_ard_3-0-0_106069_2005-07-10_final
2006-06-11 10:43:12	ga_ls7e_ard_3-0-0_106069_2006-06-11_final
2006-09-15 10:42:44	ga_ls7e_ard_3-0-0_106069_2006-09-15_final
2007-02-06 10:43:34	ga_ls7e_ard_3-0-0_106069_2007-02-06_final
2007-03-10 10:43:42	ga_ls7e_ard_3-0-0_106069_2007-03-10_final
2007-06-14 10:43:27	ga_ls7e_ard_3-0-0_106069_2007-06-14_final
2007-09-18 10:42:59	ga_ls7e_ard_3-0-0_106069_2007-09-18_final
2007-12-07 10:43:27	ga_ls7e_ard_3-0-0_106069_2007-12-07_final
2008-09-04 10:42:12	ga_ls7e_ard_3-0-0_106069_2008-09-04_final
2009-08-22 10:43:22	ga_ls7e_ard_3-0-0_106069_2009-08-22_final
2009-11-10 10:43:44	ga_ls7e_ard_3-0-0_106069_2009-11-10_final
2009-12-28 10:44:25	ga_ls7e_ard_3-0-0_106069_2009-12-28_final
2010-01-29 10:44:54	ga_ls7e_ard_3-0-0_106069_2010-01-29_final
2010-12-15 10:46:12	ga_ls7e_ard_3-0-0_106069_2010-12-15_final
2011-04-06 10:46:49	ga_ls7e_ard_3-0-0_106069_2011-04-06_final
2011-09-13 10:46:28	ga_ls7e_ard_3-0-0_106069_2011-09-13_final
2012-03-23 10:47:19	ga_ls7e_ard_3-0-0_106069_2012-03-23_final
2013-01-21 10:49:22	ga_ls7e_ard_3-0-0_106069_2013-01-21_final
2013-06-30 10:48:44	ga_ls7e_ard_3-0-0_106069_2013-06-30_final
2013-08-01 10:48:26	ga_ls7e_ard_3-0-0_106069_2013-08-01_final
2014-01-08 10:49:38	ga_ls7e_ard_3-0-0_106069_2014-01-08_final
2014-09-21 10:50:55	ga_ls7e_ard_3-0-0_106069_2014-09-21_final
2015-01-11 10:51:46	ga_ls7e_ard_3-0-0_106069_2015-01-11_final
2015-01-27 10:51:49	ga_ls7e_ard_3-0-0_106069_2015-01-27_final
2015-03-16 10:52:09	ga_ls7e_ard_3-0-0_106069_2015-03-16_final
2015-11-11 10:53:49	ga_ls7e_ard_3-0-0_106069_2015-11-11_final
2016-03-18 10:55:18	ga_ls7e_ard_3-0-0_106069_2016-03-18_final
2016-05-05 10:55:34	ga_ls7e_ard_3-0-0_106069_2016-05-05_final
2017-04-06 10:55:27	ga_ls7e_ard_3-0-0_106069_2017-04-06_final
2017-04-22 10:55:35	ga_ls7e_ard_3-0-0_106069_2017-04-22_final
2017-08-28 10:55:48	ga_ls7e_ard_3-0-0_106069_2017-08-28_final
2018-03-08 10:54:29	ga_ls7e_ard_3-0-0_106069_2018-03-08_final
2019-02-23 10:46:47	ga_ls7e_ard_3-1-0_106069_2019-02-23_final
2019-03-11 10:46:16	ga_ls7e_ard_3-1-0_106069_2019-03-11_final
2019-03-27 10:45:44	ga_ls7e_ard_3-1-0_106069_2019-03-27_final
2019-06-15 10:42:48	ga_ls7e_ard_3-0-0_106069_2019-06-15_final
2019-09-03 10:39:36	ga_ls7e_ard_3-1-0_106069_2019-09-03_final
2019-09-19 10:38:54	ga_ls7e_ard_3-1-0_106069_2019-09-19_final
2019-10-05 10:38:13	ga_ls7e_ard_3-1-0_106069_2019-10-05_final
2019-10-21 10:37:33	ga_ls7e_ard_3-1-0_106069_2019-10-21_final
2019-11-06 10:36:50	ga_ls7e_ard_3-1-0_106069_2019-11-06_final
2019-11-22 10:36:06	ga_ls7e_ard_3-1-0_106069_2019-11-22_final
2019-12-08 10:35:19	ga_ls7e_ard_3-1-0_106069_2019-12-08_final
2019-12-24 10:34:30	ga_ls7e_ard_3-1-0_106069_2019-12-24_final
2020-01-25 10:32:53	ga_ls7e_ard_3-1-0_106069_2020-01-25_final
2020-02-10 10:32:04	ga_ls7e_ard_3-1-0_106069_2020-02-10_final
2020-02-26 10:31:14	ga_ls7e_ard_3-1-0_106069_2020-02-26_final
2020-03-13 10:30:22	ga_ls7e_ard_3-1-0_106069_2020-03-13_final
2020-03-29 10:29:29	ga_ls7e_ard_3-1-0_106069_2020-03-29_final
2020-04-14 10:28:34	ga_ls7e_ard_3-1-0_106069_2020-04-14_final
2020-04-30 10:27:37	ga_ls7e_ard_3-1-0_106069_2020-04-30_final
2020-05-16 10:26:39	ga_ls7e_ard_3-1-0_106069_2020-05-16_final
2020-06-17 10:24:45	ga_ls7e_ard_3-1-0_106069_2020-06-17_final
2020-07-03 10:23:48	ga_ls7e_ard_3-1-0_106069_2020-07-03_final
2020-07-19 10:22:49	ga_ls7e_ard_3-1-0_106069_2020-07-19_final
2020-08-04 10:21:50	ga_ls7e_ard_3-1-0_106069_2020-08-04_final
2020-08-20 10:20:49	ga_ls7e_ard_3-1-0_106069_2020-08-20_final
2020-09-05 10:19:46	ga_ls7e_ard_3-1-0_106069_2020-09-05_final
2020-09-21 10:18:42	ga_ls7e_ard_3-1-0_106069_2020-09-21_final
2020-10-07 10:17:41	ga_ls7e_ard_3-1-0_106069_2020-10-07_final
2020-10-23 10:16:39	ga_ls7e_ard_3-1-0_106069_2020-10-23_final
2020-11-08 10:15:34	ga_ls7e_ard_3-1-0_106069_2020-11-08_final
2020-12-10 10:13:17	ga_ls7e_ard_3-1-0_106069_2020-12-10_final
2020-12-26 10:12:05	ga_ls7e_ard_3-1-0_106069_2020-12-26_final
2021-02-12 10:08:39	ga_ls7e_ard_3-2-0_106069_2021-02-12_final
2021-02-28 10:07:26	ga_ls7e_ard_3-2-0_106069_2021-02-28_final
2021-04-01 10:04:53	ga_ls7e_ard_3-2-0_106069_2021-04-01_final
2021-04-17 10:03:33	ga_ls7e_ard_3-2-0_106069_2021-04-17_final
2021-05-03 10:02:12	ga_ls7e_ard_3-2-0_106069_2021-05-03_final
2021-05-19 10:00:51	ga_ls7e_ard_3-2-0_106069_2021-05-19_final
2021-06-04 09:59:29	ga_ls7e_ard_3-2-0_106069_2021-06-04_final
2021-06-20 09:58:11	ga_ls7e_ard_3-2-0_106069_2021-06-20_final
2021-07-06 09:56:51	ga_ls7e_ard_3-2-0_106069_2021-07-06_final
2021-07-22 09:55:29	ga_ls7e_ard_3-2-0_106069_2021-07-22_final
2021-08-07 09:54:05	ga_ls7e_ard_3-2-0_106069_2021-08-07_final
2021-08-23 09:52:40	ga_ls7e_ard_3-2-0_106069_2021-08-23_final
2021-09-08 09:51:17	ga_ls7e_ard_3-2-0_106069_2021-09-08_final
2021-09-24 09:49:51	ga_ls7e_ard_3-2-0_106069_2021-09-24_final
2021-10-10 09:48:27	ga_ls7e_ard_3-2-0_106069_2021-10-10_final
2021-11-11 09:45:29	ga_ls7e_ard_3-2-0_106069_2021-11-11_final
2021-12-13 09:42:26	ga_ls7e_ard_3-2-1_106069_2021-12-13_final
2021-12-29 09:40:52	ga_ls7e_ard_3-2-1_106069_2021-12-29_final
2022-01-14 09:39:19	ga_ls7e_ard_3-2-1_106069_2022-01-14_final
2022-02-15 09:36:07	ga_ls7e_ard_3-2-1_106069_2022-02-15_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-19 09:32:59	ga_ls7e_ard_3-2-1_106069_2022-03-19_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years